scholarly journals Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives

2021 ◽  
Author(s):  
Daichi Kitaguchi ◽  
Nobuyoshi Takeshita ◽  
Hiro Hasegawa ◽  
Masaaki Ito
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Future Perspectives ◽  
Recent Advances

scholarly journals Data Extraction in Insurance Photo-Inspections Using Computer Vision

Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 33
Author(s):  
Mateo Gende ◽  
Marcos Ortega ◽  
Manuel G. Penedo
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Data Acquisition ◽  
Human Activity ◽  
Data Extraction ◽  
Real Environment ◽  
Complex Information ◽  
Recent Advances ◽  
Automatic Reading ◽  
Irregular Data

Recent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This paper presents the development of systems for the automatic reading of French and Spanish license plates, as well as odometer value reading in dashboard photographs. These were trained and validated with real examples of more than 4000 vehicles, while addressing typical problems with irregular data acquisition. The systems proposed have found use in a real environment and are employed as assistance in vehicle appraisal.

МЕТОДЫ ДОСТИЖЕНИЯ МАКСИМАЛЬНОЙ ЭФФЕКТИВНОСТИ ПЛАТФОРМЫ ПРОТОТИПИРОВАНИЯ ВЫСОКОПРОИЗВОДИТЕЛЬНЫХ СИСТЕМ НА КРИСТАЛЛЕ НА ЗАДАЧАХ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

2020 ◽  
Vol 96 (3s) ◽  
pp. 585-588
Author(s):  
С.Е. Фролова ◽  
Е.С. Янакова
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Computer Vision ◽  
High Performance ◽  
Systems On Chip ◽  
High Performance Systems ◽  
On Chip ◽  
Network Technologies ◽  
Neural Network Technologies

Предлагаются методы построения платформ прототипирования высокопроизводительных систем на кристалле для задач искусственного интеллекта. Изложены требования к платформам подобного класса и принципы изменения проекта СнК для имплементации в прототип. Рассматриваются методы отладки проектов на платформе прототипирования. Приведены результаты работ алгоритмов компьютерного зрения с использованием нейросетевых технологий на FPGA-прототипе семантических ядер ELcore. Methods have been proposed for building prototyping platforms for high-performance systems-on-chip for artificial intelligence tasks. The requirements for platforms of this class and the principles for changing the design of the SoC for implementation in the prototype have been described as well as methods of debugging projects on the prototyping platform. The results of the work of computer vision algorithms using neural network technologies on the FPGA prototype of the ELcore semantic cores have been presented.

scholarly journals Artificial intelligence and colonoscopy: Current status and future perspectives

2019 ◽  
Vol 31 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Shin‐ei Kudo ◽  
Yuichi Mori ◽  
Masashi Misawa ◽  
Kenichi Takeda ◽  
Toyoki Kudo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Current Status ◽  
Future Perspectives

Harnessing additive manufacturing for magnesium-based metallic bioimplants: Recent advances and future perspectives

2021 ◽  
Vol 17 ◽  
pp. 100264
Author(s):  
Vicky Subhash Telang ◽  
Rakesh Pemmada ◽  
Vinoy Thomas ◽  
Seeram Ramakrishna ◽  
Puneet Tandon ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Future Perspectives ◽  
Recent Advances
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